Resolution:
## Figure 2.
ROC analysis measuring the performance of CAPPIC in comparison to the methods by Goldberg
and Roth and Kuchaiev et al. False positive rate (1-specificity) is plotted against true positive rate (sensitivity)
for each of the six reference networks. Since the definition of a negative interaction
set in the performance assessment involves a random process, the ROC plots summarize
the outcome of 100 runs. Plots show the average ROC curves (thick lines), their standard
error bands (dotted lines), as well as the mean area under the ROC curve (AUC) of
all runs. The ‘X’-marks on the green ROC curves correspond to the fraction of true/false
interactions whose proteins share network neighbors and are thus scored by Goldberg
and Roth’s method.
Kamburov |